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bpmmirna

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  Analyzed 2 days ago

Basic Pipeline for the analysis of microarrays of microRNA

23.2K lines of code

0 current contributors

over 6 years since last commit

1 users on Open Hub

Inactive
0.0
 
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ProDy

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  Analyzed 1 day ago

ProDy is a free and open-source Python package for analysis and modeling of protein structural dynamics. It allows for efficient analysis of large datasets and is suitable for development or prototyping of structure-based analysis and modeling software.

59.7K lines of code

12 current contributors

18 days since last commit

1 users on Open Hub

Moderate Activity
5.0
 
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facereclab

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  No analysis available

Face Recognition Lab (facereclab) is a platform to implement and evaluate face recognition algorithms. The FaceRecLab is inspired by the csuFaceIdEval made at Colorado State University and is created in MATLAB for the purpose of ease of understanding and extending.

0 lines of code

0 current contributors

0 since last commit

0 users on Open Hub

Activity Not Available
0.0
 
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Mostly written in language not available
Licenses: mit

memeater3k

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  No analysis available

Face Detection/Recognition in video with OpenCV. memEater3K uses OpenCV's Haar Detector for face detection and Eigenfaces for face recognition. The implementation was done in C.

0 lines of code

0 current contributors

0 since last commit

0 users on Open Hub

Activity Not Available
0.0
 
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Mostly written in language not available
Licenses: bsd

pca-grinder

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  No analysis available

The program is simple and aimed to do principal component analysis with text input and output. Thus it is easy to port or integrate to your applications. We use GNU Scientific library to calculate eigenvalues. It still needs optimization.

0 lines of code

0 current contributors

0 since last commit

0 users on Open Hub

Activity Not Available
0.0
 
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Mostly written in language not available
Licenses: gpl3_or_l...

Modular toolkit for Data Processing MDP

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  Analyzed about 22 hours ago

Modular toolkit for Data Processing is a library of widely used data processing algorithms that can be combined according to a pipeline analogy to build more complex data processing software. Implemented algorithms include PCA,ICA,SFA, and many more.

254K lines of code

5 current contributors

4 months since last commit

0 users on Open Hub

Very Low Activity
0.0
 
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Licenses: No declared licenses

zeta-learn

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  Analyzed about 17 hours ago

zeta-learn is a minimalistic python machine learning library designed to deliver fast and easy model prototyping. zeta-learn aims to provide an extensive understanding of machine learning through the use of straightforward algorithms and readily implemented examples making it a useful resource for researchers and students.

6.25K lines of code

1 current contributors

about 2 years since last commit

0 users on Open Hub

Inactive
5.0
 
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maccmia

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  No analysis available

The package is a user-friendly Matlab interface to analyze digital images using multivariate statistics (principal component analysis, PCA). For now, Matlab is required (Windows, MacOS, Linux, Unix), but we hope to eventually port the code to a stand-alone platform using Qt. A complete manual ... [More] is supplied: it reviews basic concepts of multivariate statistics and shows how to use the software with a "step-by-step" case study. The software package also includes several other "test" images for the user to gain an understanding of MIA. Update (12 November 2008) There is no code available for now, but you can download a working version from here. If someone wants the source code, please contact me at kgdunn@gmail.com [Less]

0 lines of code

0 current contributors

0 since last commit

0 users on Open Hub

Activity Not Available
0.0
 
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Mostly written in language not available
Licenses: gpl